awesome-sentiment-analysis VS obsei

Compare awesome-sentiment-analysis vs obsei and see what are their differences.

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awesome-sentiment-analysis obsei
1 9
526 1,079
- 4.2%
1.9 4.2
6 months ago 28 days ago
Python
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

awesome-sentiment-analysis

Posts with mentions or reviews of awesome-sentiment-analysis. We have used some of these posts to build our list of alternatives and similar projects.
  • What are the ways to handle out of domain inputs for text classification?
    1 project | /r/LanguageTechnology | 13 Mar 2021
    Get or generate negative class data. There are adversarial approaches that can improve domain generalization, but it's best to acquire more data from diverse sources. You mentioned you're working on sentiment in one of your comments- there are a ton of open-source sentiment datasets, at least for English, comprising millions of rows of data. Randomly sample from a wide variety of them to hit as many domains as possible. It's also worth including a neutral class.

obsei

Posts with mentions or reviews of obsei. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-27.

What are some alternatives?

When comparing awesome-sentiment-analysis and obsei you can also consider the following projects:

awesome-hungarian-nlp - A curated list of NLP resources for Hungarian

n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.

Sentiment - An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

afinn - AFINN sentiment analysis in Python

ToolJet - Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. 🚀

nlphose - Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !

YALCST - YALCST is a GITHUB ACTION to sync LeetCode submissions into GITHUB REPO automatically, written in Python.

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

stocksight - Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Blind-App-Reviews - Scraped reviews of over 25 companies from the Blind App ⚡️

shifterator - Interpretable data visualizations for understanding how texts differ at the word level